AIMC Topic: Environmental Monitoring
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Fusing satellite imagery and ground-based observations for PM air pollution modeling in Iran using a deep learning approach.
Scientific reports
Jul 1, 2025
With the rapid advancement of urbanization and industrialization in cities, air pollution has become one of the significant environmental challenges and issues in many countries. The concentration of particulate matter with an aerodynamic diameter of...
Leveraging machine learning for monitoring afforestation in mining areas: evaluating Tata Steel's restoration efforts in Noamundi, India.
Environmental monitoring and assessment
Jun 27, 2025
Mining activities have long been associated with significant environmental impacts, including deforestation, habitat degradation, and biodiversity loss, necessitating targeted strategies like afforestation to mitigate ecological damage. Tata Steel's ...
Broadscale reconnaissance of coral reefs from citizen science and deep learning.
Environmental monitoring and assessment
Jun 27, 2025
Coral reef managers require various forms of data. While monitoring is typically the preserve of scientists, there is an increasing need to collect larger scale, up-to-date data to prioritise limited conservation resources. Citizen science combined w...
A comparative study of fully automatic and semi-automatic methods for oil spill detection using Sentinel-1 data.
Environmental monitoring and assessment
Jun 26, 2025
The oil spill detection and assessment study conducted in the Banten Province of Indonesia involves the application of Sentinel-1 satellite data and machine learning tools in the year 2024. Synthetic Aperture Radar (SAR) data were used with VV polari...
Developing sediment concentration prediction in the Euphrates River catchment, Türkiye, with a honey badger and coati optimization-based hybrid algorithm.
Environmental monitoring and assessment
Jun 25, 2025
Estimation of sediment concentration (SC) is of vital importance in terms of siltation and economic life of dams, lakes and aqueducts, reservoir operations, design of water resource structures, monitoring and control of water pollution, and flood man...
Modeling Soil pH at regional scale using environmental covariates and machine learning algorithm.
Environmental monitoring and assessment
Jun 24, 2025
Soil pH serves as a critical indicator of soil chemistry and fertility, and mapping its spatial distribution holds significant importance for effective crop management. Digital soil mapping (DSM) is a commonly employed method for making rapid and cos...
An integrated IKOA-CNN-BiGRU-Attention framework with SHAP explainability for high-precision debris flow hazard prediction in the Nujiang river basin, China.
PloS one
Jun 24, 2025
Debris flows represent a persistent challenge for disaster prediction in mountainous regions due to their highly nonlinear and multivariate triggering mechanisms. This study proposes an explainable deep learning framework, the Improved Kepler Optimiz...
Deforestation driven by illegal and informal gold mining in the southern Peruvian Amazon: a predictive land use analysis over the next 50 years.
Environmental monitoring and assessment
Jun 23, 2025
The Amazon is recognized not only for its vast biodiversity and territorial extent but also for the significant mineral riches it harbors. This potential has intensified small-scale illegal and informal gold mining, a practice often employed without ...
Soil moisture mapping in Indian tropical islands with C-band SAR and artificial neural network models.
Environmental monitoring and assessment
Jun 17, 2025
This study aims at analyzing the patterns of soil moisture in the South Andaman district using an integrated approach that incorporates Sentinel-1A C-band synthetic aperture radar (SAR) data and other auxiliary data from Sentinel-2A and Landsat 8. A ...
Acoustic monitoring for tropical insect conservation.
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Jun 12, 2025
Monitoring the species-specific sounds produced by insects could provide us with a rapid, reliable, non-invasive measure of tropical ecosystem health and biodiversity. Although acoustic biodiversity monitoring has made rapid progress over the past de...
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